
Health Data Scientist (Project Manager/Team Leader)
Salary undisclosed
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- Understand business needs after liaising with different stakeholders on multiple projects
- Design and implement strategies for developing ML algorithms, oftentimes incorporating deep learning and GenAI technologies, strategies for developing and maintaining data ingestion pipelines for training the models, as well as
- Maintain documentation for regulatory & ethical standards, and enforcing proper documentation for AI, ML development and data ingestion pipelines
- Propose and maintain budgets for the different projects
- A Masters/Ph.D. in a technical field
- Prior experience in designing and implementing ML solutions as well as demonstrable experience in leading a machine learning team
- Knowledge of deep-learning and proficiency in at least one deep learning framework
- At least 5 years of demonstrable data science project management experience
- Project-management skills including, defining projects, scope, resource requirements, timelines, evaluation criteria
- Knowledge of project management frameworks such as Kanban, Scrum (Agile), and which to use for a particular project is required
- Comfortable with popular cloud frameworks such as AWS/Azure
- 2-3 years of work experience in the field of Data Science in a healthcare/pharma company will be a huge plus
- A background in microbiology/biological sciences will be a plus
- Be comfortable with stakeholder management and engagement
- The ability to communicate with business users, understand their needs, and translating business problems into tangible data science projects
- Ability to communicate complex scientific results to business stakeholders
With a suite of learning opportunities and a strong focus on in-role development, your line manager will work closely with you to help unlock your career ambitions within Danone. Working here you will enjoy a fast-paced, complex environment, which is packed with opportunities for the entrepreneurial spirit. You’ll work with some of the best-known brands in the world, such as evian, Dumex and Aptamil, and we absolutely guarantee that you can just be yourself.Our values
We live by our core ‘HOPE’ values – H is for Humanism, as people are at the heart of everything we do. O is for Openness, welcoming new ideas from the world we live in. P is for Proximity, as we believe that building close relationships leads to better understanding and trust. E is for Enthusiasm, for those who are as passionate as we are about bringing health through food to as many people as possible.Diversity, Equity, and Inclusion (DEI) is deeply embedded in Danone's DNA, representing our core values and beliefs. We embrace diversity as a driving force for positive change, nurturing an inclusive workplace where every individual is valued.Join our movement for a healthier world. One Planet One Health BY YOU. For more information about Danone, our divisions and culture, please visit careers.danone.com.#LI-DPS
- Understand business needs after liaising with different stakeholders on multiple projects
- Design and implement strategies for developing ML algorithms, oftentimes incorporating deep learning and GenAI technologies, strategies for developing and maintaining data ingestion pipelines for training the models, as well as
- Maintain documentation for regulatory & ethical standards, and enforcing proper documentation for AI, ML development and data ingestion pipelines
- Propose and maintain budgets for the different projects
- A Masters/Ph.D. in a technical field
- Prior experience in designing and implementing ML solutions as well as demonstrable experience in leading a machine learning team
- Knowledge of deep-learning and proficiency in at least one deep learning framework
- At least 5 years of demonstrable data science project management experience
- Project-management skills including, defining projects, scope, resource requirements, timelines, evaluation criteria
- Knowledge of project management frameworks such as Kanban, Scrum (Agile), and which to use for a particular project is required
- Comfortable with popular cloud frameworks such as AWS/Azure
- 2-3 years of work experience in the field of Data Science in a healthcare/pharma company will be a huge plus
- A background in microbiology/biological sciences will be a plus
- Be comfortable with stakeholder management and engagement
- The ability to communicate with business users, understand their needs, and translating business problems into tangible data science projects
- Ability to communicate complex scientific results to business stakeholders
With a suite of learning opportunities and a strong focus on in-role development, your line manager will work closely with you to help unlock your career ambitions within Danone. Working here you will enjoy a fast-paced, complex environment, which is packed with opportunities for the entrepreneurial spirit. You’ll work with some of the best-known brands in the world, such as evian, Dumex and Aptamil, and we absolutely guarantee that you can just be yourself.Our values
We live by our core ‘HOPE’ values – H is for Humanism, as people are at the heart of everything we do. O is for Openness, welcoming new ideas from the world we live in. P is for Proximity, as we believe that building close relationships leads to better understanding and trust. E is for Enthusiasm, for those who are as passionate as we are about bringing health through food to as many people as possible.Diversity, Equity, and Inclusion (DEI) is deeply embedded in Danone's DNA, representing our core values and beliefs. We embrace diversity as a driving force for positive change, nurturing an inclusive workplace where every individual is valued.Join our movement for a healthier world. One Planet One Health BY YOU. For more information about Danone, our divisions and culture, please visit careers.danone.com.#LI-DPS